DUEL: A Multi-lingual Multimodal Dialogue Corpus for Disfluency, Exclamations and Laughter

Julian Hough; Ye Tian; Laura De Ruiter; Simon Betz; Spyros Kousidis; David Schlangen; Jonathan Ginzburg

DUEL: A Multi-lingual Multimodal Dialogue Corpus for Disfluency, Exclamations and Laughter

Julian Hough
, Ye Tian
, Laura De Ruiter
, Simon Betz
, Spyros Kousidis
, David Schlangen
, Jonathan Ginzburg

Division of Psychology Communication and Human Neuroscience (L5)

Universitat Bielefeld
Universite Paris Diderot
Carmeq GmbH

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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Abstract

We present the DUEL corpus, consisting of 24 hours of natural, face-to-face, loosely task-directed dialogue in German, French and Mandarin Chinese. The corpus is uniquely positioned as a cross-linguistic, multimodal dialogue resource controlled for domain. DUEL includes audio, video and body tracking data and is transcribed and annotated for disfluency, laughter and exclamations.

Original language	English
Title of host publication	Proceedings of the 10th edition of the Language Resources and Evaluation Conference
Publication status	Published - 2016

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DUEL16LREC

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title = "DUEL: A Multi-lingual Multimodal Dialogue Corpus for Disfluency, Exclamations and Laughter",

abstract = "We present the DUEL corpus, consisting of 24 hours of natural, face-to-face, loosely task-directed dialogue in German, French and Mandarin Chinese. The corpus is uniquely positioned as a cross-linguistic, multimodal dialogue resource controlled for domain. DUEL includes audio, video and body tracking data and is transcribed and annotated for disfluency, laughter and exclamations.",

author = "Julian Hough and Ye Tian and \{De Ruiter\}, Laura and Simon Betz and Spyros Kousidis and David Schlangen and Jonathan Ginzburg",

year = "2016",

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booktitle = "Proceedings of the 10th edition of the Language Resources and Evaluation Conference",

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T1 - DUEL: A Multi-lingual Multimodal Dialogue Corpus for Disfluency, Exclamations and Laughter

AU - Hough, Julian

AU - Tian, Ye

AU - De Ruiter, Laura

AU - Betz, Simon

AU - Kousidis, Spyros

AU - Schlangen, David

AU - Ginzburg, Jonathan

PY - 2016

Y1 - 2016

N2 - We present the DUEL corpus, consisting of 24 hours of natural, face-to-face, loosely task-directed dialogue in German, French and Mandarin Chinese. The corpus is uniquely positioned as a cross-linguistic, multimodal dialogue resource controlled for domain. DUEL includes audio, video and body tracking data and is transcribed and annotated for disfluency, laughter and exclamations.

AB - We present the DUEL corpus, consisting of 24 hours of natural, face-to-face, loosely task-directed dialogue in German, French and Mandarin Chinese. The corpus is uniquely positioned as a cross-linguistic, multimodal dialogue resource controlled for domain. DUEL includes audio, video and body tracking data and is transcribed and annotated for disfluency, laughter and exclamations.

M3 - Conference contribution

BT - Proceedings of the 10th edition of the Language Resources and Evaluation Conference

ER -

DUEL: A Multi-lingual Multimodal Dialogue Corpus for Disfluency, Exclamations and Laughter

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